Associate Data Engineer

Overview

Associate Data Engineer supporting BAU and product operations across Mobility data products, helping run, monitor and improve production data pipelines, quality controls and recurring processes.

What you'll do

• Support recurring production runs and BAU data processes.
• Monitor scheduled workflows and pipelines.
• Investigate data-processing failures and operational issues.
• Support timely resolution of production incidents.
• Maintain clear operational documentation and runbooks.
• Build and maintain data ingestion, transformation and processing workflows.
• Support restructuring and transformation across interconnected datasets.
• Make controlled improvements to existing pipelines.
• Help move manual processes into automated, repeatable workflows.
• Work with senior engineers on larger architecture or platform changes.
• Develop and maintain automated data-quality checks.
• Validate data at key stages of production pipelines.
• Investigate unexpected results and identify root causes.
• Work with analysts, researchers and operational teams to resolve issues.
• Improve visibility of recurring data-quality problems.
• Support live Mobility data products and emerging capabilities.
• Support the development and operation of data products that process large, interconnected automotive datasets.
• Help move new capabilities from development into reliable production operations.
• Assist with testing, deployment and operational readiness.
• Work with Product, Research, Data Science and Technology teams.
• Identify repetitive operational tasks suitable for automation.
• Develop scripts and lightweight tools to reduce manual effort.
• Use AI-assisted engineering tools responsibly to accelerate development, testing and documentation.
• Contribute to continuous improvement of engineering standards and working practices.

What you'll need

• 1-3 years of relevant experience in data engineering, software engineering or a related data-intensive technical role.
• Strong graduates with substantial practical experience may also be considered.
• Degree or equivalent experience in Computer Science, Data Engineering, Software Engineering or a related quantitative discipline.
• Practical experience with Python and SQL.
• Understanding of data ingestion, transformation and ETL/ELT concepts.
• Familiarity with relational databases and structured datasets.
• Ability to investigate data and pipeline issues methodically.
• Understanding of software-development fundamentals, including version control and testing.
• Clear written communication and documentation skills.
• Ability to work collaboratively while owning assigned work.

Nice to have

• Experience with cloud-based data services or platforms.
• Experience supporting production pipelines or recurring data processes.
• Familiarity with APIs and system integrations.
• Exposure to orchestration, monitoring or automated-testing tools.
• Experience with large or interconnected datasets.
• Familiarity with automotive, forecasting or market-intelligence data.
• Exposure to machine-learning or Data Science workflows.

Details

• Hybrid role with in-office expectations determined by location and subject to change based on business needs.
• Location: Bengaluru, Karnataka.